most citedEnd-to-end Graph Learning Approach for Cognitive Diagnosis of Student Tutorial

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2026

ColdDDI: Evaluating Knowledge Utilization in Cold-Start Drug-Drug Interaction Prediction

Jiheng Liang, Chen Zhao, Di Wu +4

Cold-start drug-drug interaction (DDI) prediction tests whether models can identify clinically significant interactions for drugs without training-time interaction history. Existin…

cs.LG2026

FLFL: Federated Latent Factor Learning for Private Recovery of Spatio-Temporal Signals

Chengjun Yu, Di Wu, Yi He +1

Wireless sensor network (WSNs) stands out as a burgeoning and promising domain in intelligent sensing. Owing to various factors such as sudden sensor malfunctions or deliberate shu…

cs.LG2026

DT-GOL: Dual-Track Geometric Online Learning in Nonstationary Environment with Label Delay

Yulin Wang, Yi He, Dianlong You +1

Online learning is crucial for handling complex data streams in big data applications. Recent research has begun to focus on dynamic scenarios, i.e., non-stationary environments. H…

cs.CV2026

TaFD: Threat-Aware Frequency Decoupling for Adversarial Robustness against Heterogeneous Attacks

Mengda Xie, Yiling He, Meie Fang

Multi-threat robustness remains a fundamental challenge in deep learning. Although joint adversarial training (JAT) is widely adopted, it suffers from negative transfer under heter…

cs.CV2024

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes

Lujia Lv, Di Wu, Yangyi Xia +3

With the continuous improvement of people's living standards and fast-paced working conditions, pre-made dishes are becoming increasingly popular among families and restaurants due…

cs.LG2024★ 1 cited

End-to-end Graph Learning Approach for Cognitive Diagnosis of Student Tutorial

Fulai Yang, Di Wu, Yi He +2

Cognitive diagnosis (CD) utilizes students' existing studying records to estimate their mastery of unknown knowledge concepts, which is vital for evaluating their learning abilitie…